Perimeter Solutions (PRM) EV to EBITDA (2023 - 2026)
Perimeter Solutions' EV to EBITDA came in at 30.49 for Q3 2025, up 137.4% from the prior quarter.
Perimeter Solutions (PRM) EV to EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Perimeter Solutions reported EV to EBITDA of 24.96; for FY2024, it came in at 26.55, up 582.3% from FY2023.
- Going back by year, EV to EBITDA was 3.89 in FY2023 (-41.2%) and 6.62 in FY2022.
- The Q3 2025 figure represents the highest quarterly EV to EBITDA in data going back to Q1 2023.
- Year-over-year, EV to EBITDA increased in three of the last five quarters, with growth averaging 245.4%.
- Business Quant data shows PRM's EV to EBITDA at 12.84 (Q2 2025), 5.99 (Q1 2025) and 26.55 (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn |
| 10 | Perimeter Solutions | 5.07 Bn | 4.45 Bn | 238.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.26 |
| Sep 30, 2025 | 30.49 |
| Jun 30, 2025 | 12.84 |
| Mar 31, 2025 | 5.99 |
| Dec 31, 2024 | 26.55 |
| Jun 30, 2024 | 19.71 |
| Mar 31, 2024 | 14.18 |
| Dec 31, 2023 | 3.89 |
| Sep 30, 2023 | 2.07 |
| Jun 30, 2023 | 3.20 |
| Mar 31, 2023 | 4.41 |
Perimeter Solutions EV to EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();